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An Automata Based Intrusion Detection Method for Internet of Things
Joint Authors
Fu, Yulong
Yan, Zheng
Cao, Jin
Koné, Ousmane
Cao, Xuefei
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-02
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Telecommunications Engineering
Abstract EN
Internet of Things (IoT) transforms network communication to Machine-to-Machine (M2M) basis and provides open access and new services to citizens and companies.
It extends the border of Internet and will be developed as one part of the future 5G networks.
However, as the resources of IoT’s front devices are constrained, many security mechanisms are hard to be implemented to protect the IoT networks.
Intrusion detection system (IDS) is an efficient technique that can be used to detect the attackers when cryptography is broken, and it can be used to enforce the security of IoT networks.
In this article, we analyzed the intrusion detection requirements of IoT networks and then proposed a uniform intrusion detection method for the vast heterogeneous IoT networks based on an automata model.
The proposed method can detect and report the possible IoT attacks with three types: jam-attack, false-attack, and reply-attack automatically.
We also design an experiment to verify the proposed IDS method and examine the attack of RADIUS application.
American Psychological Association (APA)
Fu, Yulong& Yan, Zheng& Cao, Jin& Koné, Ousmane& Cao, Xuefei. 2017. An Automata Based Intrusion Detection Method for Internet of Things. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1188928
Modern Language Association (MLA)
Fu, Yulong…[et al.]. An Automata Based Intrusion Detection Method for Internet of Things. Mobile Information Systems No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1188928
American Medical Association (AMA)
Fu, Yulong& Yan, Zheng& Cao, Jin& Koné, Ousmane& Cao, Xuefei. An Automata Based Intrusion Detection Method for Internet of Things. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1188928
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1188928